Job scopes
- Design, build, deployment, of ETL/ELT data pipelines within big data ecosystems ( Impala, Hue, Spark, Talend and Cloudera)
- Develop technical design, and ETL specification documents
- Manage, monitor and fine tune Hadoop cluster architecture (HDFS) jobs for performance, security and resource management.
- Create detailed designs and POCs to enable new workloads and technical capabilities on the Platform.
- Work with the platform and infrastructure engineers to implement these capabilities in production
Job requirement
- Bachelor's degree in computer science or any equivalent
- Around 5-8 years of experience with development to centered around big data applications, and adhoc transformation of unstructured raw data
- Experience with Talend and Cloudera Manager, Navigator, and Data Science Workbench.
- At least 5 years Relational DBA experience, preferably with experience in SQLServer and/or MySQL.
- Design, build, and maintain Big Data workflows/pipelines to process continuous stream of data with experience in end-to-end design and build process of Near-Real-Time and Batch Data Pipelines.
- Demonstrated work experience in the following with Big Data and distributed programming models and technologies
- Knowledge of database structures, theories, principles and practices (both SQL and NoSQL).
- Active development of ETL processes using Spark or other highly parallel technologies, and implementing ETL/data pipelines
- Experience with Data technologies and Big Data tools, like Spark, Kafka, Hive, Hadoop
- Understanding of Map Reduce and other Data Query and Processing and aggregation models
- Understanding of challenges of transforming data across distributed clustered environment
- Experience with techniques for consuming, holding and aging out continuous data streams
Cristina Malabuyoc Malijan EA License No. 02C3423 Personnel Registration No. R1111547
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